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# -*- coding: utf-8 -*-
import os
import json
import datetime
import time
import bottle
from sqlalchemy import text
app = bottle.Bottle("ebus")
def maketime(datetime):
"""rechnet zeit so um wie Javascript es braucht XXX"""
return (time.mktime(datetime.timetuple())+time.altzone*-1)*1000
def parsetime(timestamp):
"""macht aus javascript zeit systemzeit"""
return ((timestamp/1000) - time.altzone*-1)
@app.route('/')
def index_file():
return static_files("index.html")
@app.route('/static/:filename#.+#')
def static_files(filename):
return bottle.static_file(filename, root=os.path.join(os.path.dirname(__file__),"static"))
@app.route('/sensor/:name')
def sensor_data(soup,name):
try:
sensor_id = soup.sensor.filter(soup.sensor.name == name).one().id
conn = soup.connection()
sql = text("""SELECT timestamp, COALESCE(value_int, value_float) as "value_real"
FROM value
WHERE sensor_id = :sensor_id
ORDER BY timestamp DESC
LIMIT 1""")
value = conn.execute(sql, sensor_id=sensor_id).first()
return {'sensor':name,'data':[maketime(value.timestamp), float(value.value_real)], 'error':None}
except Exception,e:
return {'sensor':name,'data':None, 'error':str(e)}
@app.route('/sensor/:name/:startdate/:enddate')
def sensor_data_fromto(soup,name,startdate,enddate):
try:
interval = float(enddate) - float(startdate)
modulo = interval / 500 #500 values
startdate = datetime.datetime.fromtimestamp(float(startdate))
enddate = datetime.datetime.fromtimestamp(float(enddate))
if interval <= 0: raise Exception("Invalid interval")
if interval >= 14 * 24 * 60 * 60: raise Exception("interval too big")
sensor_id = soup.sensor.filter(soup.sensor.name == name).one().id
conn = soup.connection()
sql = text("""
SELECT to_timestamp( extract(epoch from timestamp)::int - extract(epoch from timestamp)::int % :modulo ) "round_timestamp",
AVG(COALESCE(value_int,value_float)) "value_real"
FROM value
WHERE timestamp > :startdate
AND timestamp < :enddate
AND sensor_id = :sensor_id
GROUP BY "round_timestamp"
ORDER BY "round_timestamp"
""")
values = conn.execute(sql,
sensor_id=sensor_id,
startdate=startdate,
enddate=enddate,
modulo=modulo).fetchall()
values = map(lambda row: (maketime(row.round_timestamp), row.value_real),
values)
return {'sensor':name,'data':values, 'error':None}
except Exception,e:
return {'sensor':name, 'data':None, 'error':str(e)}
@app.route('/sensor_cached/:name/:timestamp_from')
def sensor_data_cached_fromto(soup, name, timestamp_from):
try:
timestamp_from = datetime.datetime.fromtimestamp(float(timestamp_from))
sensor_id = soup.sensor.filter(soup.sensor.name == name).one().id
# select data from cache-view
conn = soup.connection()
sql = text("""SELECT timestamp, value_real AS "value_real"
FROM vi_value_cache
WHERE timestamp >= :timestamp_from
AND sensor_id = :sensor_id
ORDER BY timestamp""")
values = conn.execute(sql, timestamp_from=timestamp_from, sensor_id=sensor_id).fetchall()
values = map(lambda row: (maketime(row.timestamp), row.value_real.__float__()),
values)
return {'sensor':name,'data':values, 'error':None}
except Exception,e:
return {'sensor':name, 'data':None, 'error':str(e)}
import select
import psycopg2
@app.route('/stream')
@app.route('/stream/:startdate')
def stream(soup, startdate=None):
time_start = startdate != None and datetime.datetime.fromtimestamp(parsetime(float(startdate))) \
or datetime.datetime.now()
connection = soup.connection()
conn = connection.connection
conn.set_isolation_level(psycopg2.extensions.ISOLATION_LEVEL_AUTOCOMMIT)
cursor = conn.cursor()
cursor.execute("LISTEN evt_ebus_value_insert;")
values = []
if select.select([conn],[],[],10) == ([],[],[]):
time_stop = datetime.datetime.now()
else:
time_stop = datetime.datetime.now()
conn.poll()
notify = conn.notifies.pop()
if notify:
sql = text("""SELECT sensor.name,
value.timestamp,
COALESCE(value.value_int,value.value_float) "value_real",
value_string
FROM value, sensor
WHERE value.sensor_id = sensor.id
AND timestamp >= :time_start
AND timestamp < :time_stop""")
values = map(lambda row: {
"name":row.name,
"timestamp":maketime(row.timestamp),
"value_real":row.value_real != None and row.value_real.__float__() or None,
"value_string":row.value_string
},
connection.execute(sql, time_start=time_start, time_stop=time_stop))
cursor.close()
return {'time_start' : maketime(time_start), 'time_stop':maketime(time_stop),
'data':values}
@app.route("/all_values")
def all_values(soup):
conn = soup.connection()
sql = text("""
SELECT sensor.name,
value.timestamp,
COALESCE(value.value_int,value.value_float) "value_real",
value_string
FROM value, sensor, (SELECT MAX(timestamp) as timestamp,
sensor_id
FROM value
WHERE timestamp > CURRENT_TIMESTAMP - '15 minutes'::interval
GROUP BY sensor_id) last_value
WHERE value.timestamp = last_value.timestamp
AND value.sensor_id = last_value.sensor_id
AND value.sensor_id = sensor.id""")
values = map(lambda row: {
"name":row.name,
"timestamp":maketime(row.timestamp),
"value_real":row.value_real != None and row.value_real.__float__() or None,
"value_string":row.value_string},
conn.execute(sql))
return {'data':values}
# vim: autoindent tabstop=4 shiftwidth=4 expandtab softtabstop=4 filetype=python
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